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Mathematics

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ARS Math Pathway

The sequences are not all-inclusive. For those interested in reaching a higher level math course in twelfth grade, it may be necessary to take two math courses in one year. Students pursuing post-secondary or career ready plans should review their ACT results when considering which courses to take. Math courses with strong emphasis on analysis and critical thinking skills will benefit career fields such as: engineering, health care, education, business and finance, and human services.  Math teachers will be available to provide guidance to students and parents as to course selections. Most colleges require Algebra II or higher for admission.

Curriculum Guide Quick Links

 

GEOMETRY WITH DATA ANALYSIS 

Course Code:  02073G1000
Prerequisite: None
Credit: 1
Geometry with Data Analysis is the first of three required courses in high school mathematics. In Geometry with Data Analysis, students incorporate knowledge and skills in Geometry and Measurement, Algebra and Functions, and Data Analysis, Statistics, and Probability, leading to a deeper understanding of fundamental relationships within the discipline and building a solid foundation for further study. The prerequisite for Geometry with Data Analysis is either Grade 8 Mathematics or Grade 8 Accelerated Mathematics. For students who opt to accelerate their mathematical pathways in the 9th grade, Geometry with Data Analysis may also be taken concurrently with Algebra I with Probability.
 

HONORS GEOMETRY WITH DATA ANALYSIS

Course Code: 02073H1000
Prerequisite: None
Credit: 1

Honors Geometry with Data Analysis is the first of three required courses in high school mathematics. In Honors Geometry with Data Analysis, students incorporate knowledge and skills in Geometry and Measurement, Algebra and Functions, and Data Analysis, Statistics, and Probability, leading to a deeper understanding of fundamental relationships within the discipline and building a solid foundation for further study. The prerequisite for Honors Geometry with Data Analysis is either Grade 8 Mathematics or Grade 8 Accelerated Mathematics. For students who opt to accelerate their mathematical pathways in the 9th grade, Honors Geometry with Data Analysis may also be taken concurrently with Algebra I with Probability. This course earns an additional .5 quality point of weighted credit. 

ALGEBRA I WITH PROBABILITY 

Course Code: 02052G1000
Prerequisite: None
Credit: 1
Algebra I with Probability builds upon algebraic concepts studied in Grade 7 and Grade 8 Mathematics. It provides students with the necessary knowledge of algebra and probability for use in everyday life and in the subsequent study of mathematics. Algebra I with Probability is the second of three courses required for all students. Students may enroll in this course after completing Geometry with Data Analysis in Grade 9 or by completing both Grade 7 Accelerated Mathematics and Grade 8 Accelerated Mathematics. Students who wish to accelerate their mathematics pathways in high school may also elect to enroll in Algebra I with Probability concurrently with Geometry with Data Analysis in the 9th grade.
 

HONORS ALGEBRA II WITH STATISTICS

Course Code: 02056H1000
Prerequisite: None
Credit: 1
Prerequisite: Geometry with Data Analysis and Accelerated Math 7 and Accelerated Math 8
Honors Algebra II with Statistics builds on the students' experiences in previous mathematics, including Geometry with Data Analysis and Algebra I with Probability. It is the third of three required courses, and it is to be taken following the successful completion of Geometry with Data Analysis and either Algebra I with Probability or the combination of the Grade 7 Accelerated Mathematics and Grade 8 Accelerated Mathematics course sequence. It is the culmination of the three years of required mathematics content and sets the stage for continued study of topics specific to the student's interests and plans beyond high school. Algebra II with Statistics courses are the prerequisite for Applications of Finite Mathematics, Mathematical Modeling, Precalculus, and all other approved ALSDE mathematics classes designed for completion of students' fourth mathematics credit. This course earns an additional .5 quality point of weighted credit. 
 

ALGEBRA WITH FINANCE

Course Code: 02155G1000
Prerequisite: None
Credit: 1
Algebra with Finance is a college and career preparatory course that integrates algebra, precalculus, probability and statistics, calculus, and geometry to solve financial problems that occur in everyday life. Real-world problems in investing, credit, banking, auto insurance, mortgages, employment, income taxes, budgeting, and planning for retirement are solved by applying the relevant mathematics that are taught at a higher level. Students are encouraged to use a variety of problem-solving skills and strategies in real-world contexts, and to question outcomes using mathematical analysis and data to support their findings. The course offers students multiple opportunities to use, construct, question, model, and interpret financial situations through symbolic algebraic representations, graphical representations, geometric representations, and verbal representations. Math concepts and skills are applied through study and problem-solving activities in workforce situations in the following areas: banking, investing, employment and income taxes, automobile ownership and operation, mathematical operations, consumer credit, independent living, and retirement planning and budgeting. This course may be used as the fourth math credit or an elective.
 

APPLICATIONS OF FINITE MATH

Course Code: 02136G1000   
Prerequisite: Algebra II with Statistics
Credit: 1

Applications of Finite Mathematics was developed as a fourth-year course that extends beyond the three years of essential content that is required for all high school students. Applications of Finite Mathematics provides students with the opportunity to explore mathematics concepts related to discrete mathematics and their application to computer science and other fields, and includes areas of study that are critical to the fast-paced growth of a technologically advancing world. The wide range of topics in Applications of Finite Mathematics includes logic, counting methods, information processing, graph theory, election theory, and fair division, with an emphasis on relevance to real-world problems. Logic includes recognizing and developing logical arguments and using principles of logic to solve problems. Students are encouraged to use a variety of approaches and representations to make sense of advanced counting problems, then develop formulas that can be used to explain patterns. Applications in graph theory allow students to use mathematical structures to represent real-world problems and make informed decisions. Election theory and fair division applications also engage students in democratic decision-making so that they recognize the power of mathematics in shaping society. The prerequisite for Applications of Finite Mathematics is Algebra II with Statistics. Note: Students may not receive credit for both Applications of Finite Mathematics and Discrete Mathematics, as Applications of Finite Mathematics includes mathematics content that also appears in the Discrete Mathematics course.

HONORS PRE-CALCULUS 

Course Code: 02110H1000
Prerequisite: Algebra II with Statistics
Credit: 1
NOTE: FULFILLS ONE OF THE FOUR MATHEMATICS CREDITS REQUIRED FOR GRADUATION. Precalculus is a course designed for students who have successfully completed the Algebra II with Statistics course. This course is considered to be a prerequisite for success in calculus and college mathematics. Algebraic, graphical, numerical, and verbal analyses are incorporated during investigations of the Precalculus content standards. Parametric equations, polar relations, vector operations, conic sections, and limits are introduced. Content for this course also includes an expanded study of polynomial and rational functions, trigonometric functions, and logarithmic and exponential functions. Application-based problem solving is an integral part of the course. Instruction should include the appropriate use of technology to facilitate the continued development of students' higher-order thinking skills. This course earns an additional .5 quality point of weighted credit. 
 
 

CALCULUS

Course Code: 02121G1000
Prerequisite: Precalculus
Credit: 1
Advanced math course; differential and integral calculus; analytic geometry topics; and functions. This course earns an additional .5 quality point of weighted credit. 
 

ADVANCED PLACEMENT (AP) CALCULUS

Course Code: 02124E1000
Prerequisite: Pre-Calculus and/or Calculus
Credit: 1
Fee:  Cost of AP Exam (Approx. $100)
NOTE: FULFILLS ONE OF THE FOUR MATHEMATICS CREDITS REQUIRED FOR GRADUATION. College-level advanced math course approved by the College Board Advanced Placement (AP) program for calculus; functions, graphs, and limits; derivatives; integrals; polynomial approximations and series. This course will be taught as a yearlong ACCESS course and may fulfill the AP component of the advanced academic endorsement. This course earns an additional 1.0 quality point of weighted credit.
 

ADVANCED PLACEMENT (AP) STATISTICS

Course Code:  02203E1000
Prerequisite: None
Credit: 1
Fee: Cost of AP Exam (Approx. $100)
NOTE: FULFILLS ONE OF THE FOUR MATHEMATICS CREDITS REQUIRED FOR GRADUATION. College-level advanced course approved by the College Board Advanced Placement (AP) Program for statistics; introductory, non-calculus-based course to introduce students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data. This course will be taught as a yearlong ACCESS course and may fulfill the AP component of the advanced academic endorsement. This course earns an additional 1.0 quality point of weighted credit.
 

ADVANCED PLACEMENT (AP) COMPUTER SCIENCE PRINCIPLES

Course Code: 10019E1000
Prerequisite: None
Credit: 1
Fee: Cost of AP Exam (Approx. $100)
College-level advanced course following the curriculum established by the College Board Advanced Placement (AP) program for computer science; focuses on the innovative and multidisciplinary aspects of computing as well as the computational thinking practices that help students see how computing is relevant to many areas of their everyday lives; introduces students to the creative aspects of programming, abstractions, algorithms, large data sets, the Internet, cybersecurity concerns, and computing impacts. This course may be taught as a yearlong ACCESS course that may fulfill the AP component of the honors endorsement. This course earns an additional 1.0 quality point of weighted credit.